Short-Term Power Load Forecasting Based on IWOA-Attention-BiLSTM
Author:
Affiliation:
1. Taiyuan University of Technology,College of Electrical and Power Engineering,Taiyuan,China,030024
Funder
Natural Science Foundation of Shanxi Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10016307/10016308/10016322.pdf?arnumber=10016322
Reference25 articles.
1. Using the ensemble Kalman filter for electricity load forecasting and analysis
2. A Kalman filter-based bottom-up approach for household short-term load forecast
3. Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm
4. Application of grey Verhulst model in mid-long term load forecasting
5. Study on power consumption load forecast based on K-means clustering and FCM–BP model
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